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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

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On page 28 showing 541 ~ 560 out of 795 results
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  • RRID:SCR_016755

    This resource has 10+ mentions.

https://software.broadinstitute.org/software/discovar/blog/

Software tool for variant calling with reference and de novo assembly of genomes. The heart of DISCOVAR is a de novo genome assembler which can generate de novo assemblies for both large and small genomes.

Proper citation: Discovar assembler (RRID:SCR_016755) Copy   


https://www.iigm.it/site/index.php?l=ENG

Private research institute in Turin, Italy. Research programs in immunogenetics, functional genomics, genomic epidemiology, tumour diagnostic and prognostic biomarker research, epigenetic modifications in disease, quantitative biology and computational neuroscience.

Proper citation: Italian Institute for Genomic Medicine; Turin; Italy (RRID:SCR_017062) Copy   


https://cmmt.ubc.ca/

Center is part of University of British Columbia Faculty of Medicine, located at British Columbia Children Hospital Research Institute (BCCHR) in Vancouver, British Columbia, Canada. Research at CMMT is focused on discovering genetic susceptibility to illnesses such as Huntington Disease, Type 2 diabetes and bipolar disorder.

Proper citation: University of British Columbia Centre for Molecular Medicine and Therapeutics (RRID:SCR_017241) Copy   


  • RRID:SCR_017307

    This resource has 100+ mentions.

https://www.beast2.org/

Software package for advanced Bayesian evolutionary analysis by sampling trees. Used for phylogenetics, population genetics and phylodynamics. Program for Bayesian phylogenetic analysis of molecular sequences. Estimates rooted, time measured phylogenies using strict or relaxed molecular clock models. Framework can be extended by third parties. Comprised of standalone programs including BEAUti, BEAST, MASTER, RBS, SNAPP, MultiTypeTree, BDSKY, LogAnalyser, LogCombiner, TreeAnnotator, DensiTree and package manager.

Proper citation: BEAST2 (RRID:SCR_017307) Copy   


  • RRID:SCR_017655

    This resource has 1000+ mentions.

https://depmap.org/portal/

Portal for identifying genetic and pharmacologic dependencies and biomarkers that predicts them by providing access to datasets, visualizations, and analysis tools that are being used by Cancer Dependency Map Project at Broad Institute. Project to systematically identify genes and small molecule dependencies and to determine markers that predict sensitivity. All data generated by DepMap Project are available to public under CC BY 4.0 license on quarterly basis and pre-publication.

Proper citation: Cancer Dependency Map Portal (RRID:SCR_017655) Copy   


https://deepblue.mpi-inf.mpg.de/

Central data access hub for large collections of epigenomic data. It organizes data from different sources using controlled vocabularies and ontologies. Data Server for storing, organizing, searching, and retrieving genomic and epigenomic data, handling associated metadata, and to perform different types of analysis.

Proper citation: Deep Blue Epigenomic Data Server (RRID:SCR_017490) Copy   


  • RRID:SCR_017636

    This resource has 100+ mentions.

http://taylor0.biology.ucla.edu/structureHarvester/

Web based program for collating results generated by program STRUCTURE. Provides assess and visualize likelihood values across multiple values of K and hundreds of iterations for easier detection of number of genetic groups that best fit data. Reformats data for use in downstream programs, such as CLUMPP.It is complement for using software Structure in genetics population. Website and program for visualizing STRUCTURE output and implementing Evanno method., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Structure Harvester (RRID:SCR_017636) Copy   


  • RRID:SCR_017609

    This resource has 10+ mentions.

http://chemrich.fiehnlab.ucdavis.edu/

Software tool for chemical similarity enrichment analysis of metabolomics datasets. Used in studies to uncover biological mechanisms in organisms under genetic or environmental stress in system biology manner or finding risk factors for chronic diseases in exposome wise association studies using blood specimens. Allows users to realize pathway analysis.

Proper citation: ChemRICH (RRID:SCR_017609) Copy   


  • RRID:SCR_014938

    This resource has 1+ mentions.

http://sandberg.cmb.ki.se/media/data/rnaseq/rpkmforgenes.py

Python script which calculates gene expression for RNA-Sequencing data. It analyzes files in formats such as BED, BAM, and SAM to output data about RNA.

Proper citation: rpkmforgenes.py (RRID:SCR_014938) Copy   


  • RRID:SCR_008807

    This resource has 1+ mentions.

http://www.seattle.eric.research.va.gov/VETR/Home.asp

The Vietnam Era Twin (VET) Registry is a closed cohort composed of approximately 7,000 middle-aged male-male twin pairs both of whom served in the military during the time of the Vietnam conflict (1964-1975). The Registry is a United States Department of Veterans Affairs (VA) resource that was originally constructed from military records; the Registry has been in existence for almost 20 years. It is one of the largest national twin registries in the US and currently has members living in all 50 states. Initially formed to address questions about the long-term health effects of service in Vietnam, the Registry has evolved into a resource for genetic epidemiological studies of mental and physical health conditions. Several waves of mail and telephone surveys have collected a wealth of health-related information on Registry twins, referred to as members. In addition to twins, selected adult offspring of twins and the mothers of those offspring are also VET Registry members. More recent data collection efforts have focused on specific sets of twin pairs and have conducted detailed clinical or laboratory testing. Selected Vietnam Era Registry Research Studies: * Veteran Health Study * VETSA 2: A Longitudinal Study of Cognitive Aging * Alcoholism Course thought Midlife: A Twin Family Study and Offspring of Twins: G, E and GxE Risk for Alcoholism * GE: Offspring of Twins with Substance Use Disorder * Mechanisms Linking Depression to Cardiovascular Risk (Twins Heart Study 2) * Post-traumatic Stress Disorder and Cardiovascular Disease * Biological Markers for Post-traumatic Stress Disorder (T3) * Memory and the Hippocampus in Vietnam-era Twins with PTSD (Time 3)

Proper citation: Vietnam Era Twin Registry (RRID:SCR_008807) Copy   


  • RRID:SCR_016441

    This resource has 1+ mentions.

https://www.t2depigenome.org/

Collects and provides data on the human genome and epigenome to facilitate genetic studies of type 2 diabetes and its complications. A component of the AMP T2D consortium, which includes the National Institute for Diabetes and Digestive and Kidney Diseases (NIDDK) and an international collaboration of researchers.

Proper citation: Diabetes Epigenome Atlas (RRID:SCR_016441) Copy   


  • RRID:SCR_016580

    This resource has 10+ mentions.

http://fusion.sph.umich.edu/

Portal to map and identify genetic variants that predispose to type 2 diabetes mellitus (T2D) or are responsible for variability in diabetes-related quantitative traits. Used for analysis of affected-sibling-pair (ASP) families in Finland, and association fine mapping based on these family members and additional T2D cases and controls.

Proper citation: FUSION study (RRID:SCR_016580) Copy   


http://upr.eagle-i.net/i/0000012c-9dd1-fddf-95a5-371e80000000

Core facility that provides the following services: Necropsy. The Sabana Seca Field Station (SSFS) is the administrative headquarters for the Caribbean Primate Research Center, or CPRC. This area contains offices, a clinic, and laboratories for reproductive biology and bone densitometry, necropsy and maintenance buildings. It houses rhesus monkeys from the CS colony or from the CS genetic line.

Proper citation: UPR Sabana Seca Field Station Caribbean Primate Research Center (RRID:SCR_010134) Copy   


  • RRID:SCR_010461

    This resource has 50+ mentions.

http://fcon_1000.projects.nitrc.org/indi/enhanced/

Dataset of 1000 characterized community-ascertained participants using state-of-the-art multiband imaging-based resting state fMRI (R-fMRI) and diffusion tensor imaging (DTI), genetics, and a deep phenotyping protocol from a large cross-sectional sample of brain development, maturation and aging (ages 6 - 85 yrs). The Center for Magnetic Resonance Research (CMRR), University of Minnesota, provided the NKI-RS effort with the latest version of the Multiband EPI sequence (Xu et al. 2012) and associated image reconstruction algorithms, enabling the acquisition of state-of-the-art imaging datasets for this large-scale imaging effort. The enhanced NKI-RS expands upon the phenotypic protocol of the original NKI-RS and captures a broad range of behavioral and cognitive phenomenology relevant to psychiatric health and illness. The validity and value of assessments were evaluated by consulting leaders in the field of psychiatric phenotyping.

Proper citation: NKI-RS Enhanced Sample (RRID:SCR_010461) Copy   


http://faculty.washington.edu/browning/presto/presto.html

Software application that performs permutation testing and computes empirical distributions of order statistics for one and two stage association studies with stratified or unstratified data.

Proper citation: PRESTO: Genetic Association Analysis Software (RRID:SCR_013285) Copy   


  • RRID:SCR_013449

    This resource has 50+ mentions.

http://genecanvas.ecgene.net/#!index.md#THESIAS:_testing_haplotype_effects_in_association_studies

Software program that performs haplotype-based association analysis in unrelated individuals. This program is based on a maximum likelihood model described in Tregouet et al. 2002 and is linked to the stochastic EM (SEM) algorithm. THESIAS allows the simultaneous estimation of haplotype frequencies and of their associated effects on the phenotype of interest. In its current version, both quantitative and qualitative phenotypes can be studied. Covariate-adjusted haplotype effects as well as haplotype x covariate interactions can be investigated. (entry from Genetic Analysis Software)

Proper citation: THESIAS (RRID:SCR_013449) Copy   


  • RRID:SCR_013454

    This resource has 10+ mentions.

http://www.dmle.org/

Software application for high-resolution mapping of the position of a disease mutation relative to a set of genetic markers using population linkage disequilibrium (LD). (entry from Genetic Analysis Software)

Proper citation: DMLE (RRID:SCR_013454) Copy   


  • RRID:SCR_013262

    This resource has 10+ mentions.

http://pendientedemigracion.ucm.es/info/prodanim/html/JP_Web.htm

A population genetics computer program that conducts several genetic analyses on multilocus information in a user-friendly environment. Primary functions carried out by MOLKIN are the computation of the between individuals (and populations) molecular coancestry coefficients, the Kinship distance at individual and population levels. Additionally, users can compute with MOLKIN a set of among populations, genetic distances and F statistics from multilocus information. The program will help researchers or those responsible for population management to assess genetic variability and population structure at reduced costs with respect to dataset preparation (entry from Genetic Analysis Software)

Proper citation: MOLKIN (RRID:SCR_013262) Copy   


  • RRID:SCR_013382

    This resource has 10+ mentions.

http://www.bios.unc.edu/~lin/hapstat/

Software interface for the statistical analysis of haplotype-disease association. HAPSTAT allows the user to estimate or test haplotype effects and haplotype-environment interactions by maximizing the (observed-data) likelihood that properly accounts for phase uncertainty and study design. The current version considers cross-sectional, case-control and cohort studies. (entry from Genetic Analysis Software)

Proper citation: HAPSTAT (RRID:SCR_013382) Copy   


  • RRID:SCR_013303

http://dlin.web.unc.edu/software/gwaselect-2/

Software application that implements a novel variable selection method for GWAS data and is able to handle more than half million SNPs. Extensive simulation studies and real data analysis show that this method enjoys high power and low false discovery rate compared to existing variable selection methods. The variables selected by GWASelect can be readily placed into a logistic regression model for disease prediction. The current release is designed for binary outcome under the additive mode of inheritance. (entry from Genetic Analysis Software)

Proper citation: GWASELECT (RRID:SCR_013303) Copy   



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